Preview

GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY

Advanced search

APPLICATION OF REMOTE SENSING DATA FOR THE ASSESSMENT OF THE UJUK MOUNTAIN BOREAL FORESTS (THE TYVA REPUBLIC, RUSSIA)

https://doi.org/10.15356/2071-9388_01v09_2016_07

Abstract

This paper discusses some issues related to assessment and monitoring of forests in
southern Siberia. This study aims to evaluate the response of southern boreal forests to climate warming at local scale. Estimating the impacts of climate change on mountain boreal forests requires a more complete accounting of tree growth/climate interaction. We used both remote sensing and field data. Field measurements were made from the upper to lower timberline of dark deciduous forest in 2005 and 2012. The remote sensing datasets were generated from LANDSAT scenes of different dates (19.08.1988, 25.06.1992 and 18.08.2011). For estimation of forests changes, we used values of NDVI (Normalized Difference Vegetation Index) and NBR (Normalized Burn Ratio).

About the Author

Khulermaa B. Kuular
Tuvinian Institute for Exploration of Natural Resources of the Siberian Branch RAS
Russian Federation


References

1. Atlas: Ekonomicheskij potencial Respubliki Tyva (Atlas of the Tyva Republic: Economic potential of the Tyva Republic (2003–2004) (2005) – Editors V.I. Lebedev, Yu.G. Polulyah. Kyzyl, Tuvinian Institute for Exploration of Natural Resources SB RAS, 60 p.

2. Key, C., Benson, N. (1999). Measuring and remote sensing of burn severity: the CBI and NBR. Poster abstract. In: L.F. Neuenschwander and K.C. Ryan (Eds.) //Proceedings Joint Fire Science Conference and Workshop, Vol. II, Boise, ID, 15–17 June 1999. University of Idaho and International Association of Wildland Fire, pp. 284.

3. Rouse, JR.J., Haas, R., Shell, J., Deering, D. (1974). Monitoring vegetation systems in the Great Plains with ERTS // In: Third Earth Resources Technology Satellite-1 Symposium, vol. 1, 10–14 December 1973. Washington, DC, p. 309–317.

4. Tipy lesov gor Yuzhnoy Sibiri (Types of mountain forests of Southern Siberia). (1980). – Editors Smagin V.N., Il’inskaya S.A, Nazimova D.I., Novosel’ceva I.F., Cherednikova Yu.S. Novosibirsk, Science, SB, 336 p.


Review

For citations:


Kuular Kh.B. APPLICATION OF REMOTE SENSING DATA FOR THE ASSESSMENT OF THE UJUK MOUNTAIN BOREAL FORESTS (THE TYVA REPUBLIC, RUSSIA). GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2016;9(1):87-93. https://doi.org/10.15356/2071-9388_01v09_2016_07

Views: 837


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)